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    JMLR
    2008
    132views more  JMLR 2008»
    Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
    13 years 3 months ago
    Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
    Download  www.eecs.berkeley.edu
    Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
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    JMLR
    2008
    188views more  JMLR 2008»
    Maximal Causes for Non-linear Component Extraction
    13 years 4 months ago
    Maximal Causes for Non-linear Component Extraction
    Download  www.gatsby.ucl.ac.uk
    We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
    Jörg Lücke, Maneesh Sahani
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    JMLR
    2008
    144views more  JMLR 2008»
    Search for Additive Nonlinear Time Series Causal Models
    13 years 5 months ago
    Search for Additive Nonlinear Time Series Causal Models
    Download  jmlr.csail.mit.edu
    Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
    Tianjiao Chu, Clark Glymour
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    JMLR
    2008
    95views more  JMLR 2008»
    Learning Similarity with Operator-valued Large-margin Classifiers
    13 years 5 months ago
    Learning Similarity with Operator-valued Large-margin Classifiers
    Download  www.andreas-maurer.eu
    A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
    Andreas Maurer
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    JMLR
    2008
    151views more  JMLR 2008»
    Learning to Combine Motor Primitives Via Greedy Additive Regression
    13 years 5 months ago
    Learning to Combine Motor Primitives Via Greedy Additive Regression
    Download  www.bcs.rochester.edu
    The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
    Manu Chhabra, Robert A. Jacobs
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    JMLR
    2008
    148views more  JMLR 2008»
    Linear-Time Computation of Similarity Measures for Sequential Data
    13 years 5 months ago
    Linear-Time Computation of Similarity Measures for Sequential Data
    Download  www.tm.uka.de
    Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
    Konrad Rieck, Pavel Laskov
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    JMLR
    2008
    107views more  JMLR 2008»
    A Library for Locally Weighted Projection Regression
    13 years 5 months ago
    A Library for Locally Weighted Projection Regression
    Download  homepages.inf.ed.ac.uk
    In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensiona...
    Stefan Klanke, Sethu Vijayakumar, Stefan Schaal
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    JMLR
    2008
    137views more  JMLR 2008»
    Online Learning of Complex Prediction Problems Using Simultaneous Projections
    13 years 5 months ago
    Online Learning of Complex Prediction Problems Using Simultaneous Projections
    Download  jmlr.csail.mit.edu
    We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
    Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
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    JMLR
    2008
    141views more  JMLR 2008»
    Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
    13 years 5 months ago
    Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
    Download  jmlr.csail.mit.edu
    In graphical modelling, a bi-directed graph encodes marginal independences among random variables that are identified with the vertices of the graph. We show how to transform a bi...
    Mathias Drton, Thomas S. Richardson
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    JMLR
    2008
    80views more  JMLR 2008»
    An Information Criterion for Variable Selection in Support Vector Machines
    13 years 5 months ago
    An Information Criterion for Variable Selection in Support Vector Machines
    Download  www.econ.kuleuven.be
    Gerda Claeskens, Christophe Croux, Johan Van Kerck...
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